catlog22/maestro-flow - Open Source PR Review Scorecard

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

C-Rank Grade: B (Solid) - 48/100

External PR Merge Rate: 37%

Response Time: 1d

First Timer Success: -

Frequently Asked Questions

Is catlog22/maestro-flow welcoming to first-time open-source contributors?

catlog22/maestro-flow has a recorded first-timer success rate of 0.0%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in catlog22/maestro-flow respond to incoming external pull requests in approximately 28.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 48.5 C-Rank™ score (B Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 48.5 places catlog22/maestro-flow in the B tier.

What is the external contributor pull request merge rate for catlog22/maestro-flow?

The external contributor pull request merge rate for catlog22/maestro-flow is 36.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in catlog22/maestro-flow?

catlog22/maestro-flow does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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catlog22/maestro-flowB•Solid548
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catlog22

catlog22/maestro-flow

548
Active (30d)B•Solid(48/100)Low Sample (<20 PRs)TypeScript

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Growing TypeScript project in catlog22/maestro-flow welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with TypeScript style conventions
  • •Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
36.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
36.8%
Merge Gauge
0.0%
1st-Timer
Community Vibe23/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for catlog22/maestro-flow
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/catlog22/maestro-flow)](https://getmerged.abhishekco.de/catlog22/maestro-flow?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for catlog22/maestro-flow.

View all good first issues directly on GitHub

Looking for more TypeScript beginner tasks?Explore TypeScript GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for catlog22/maestro-flow

When evaluating whether to contribute to catlog22/maestro-flow, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of catlog22/maestro-flow acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 36.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to catlog22/maestro-flow

01

Is catlog22/maestro-flow welcoming to first-time open-source contributors?

catlog22/maestro-flow has a recorded first-timer success rate of 0.0%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 48.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 48.5 places catlog22/maestro-flow in the Solid tier.

04

What is the external contributor pull request merge rate for catlog22/maestro-flow?

The external pull request merge rate is 36.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in catlog22/maestro-flow?

catlog22/maestro-flow does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for catlog22/maestro-flow are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.